This thesis comprehensively examines financial structure choices of firms in three emerging economies of the East African region. It highlights the lack of research in this area and empirically examines three panel data models of financial structure (ownership, firm-specific factorsâ and firm performance models, whilst incorporating the influence of macroeconomic factors) using panel data estimation techniques, including the method of moments framework. It estimates these models using panel data from 47 listed firms; and then data from 20 private firms. The original and significant contributions to knowledge of my thesis are as follows: it provides novel insights into the relation between ownership structure and firm financial structure; it provides new understanding of the relation between firm-specific factors and financial structure of quoted and private firms in emerging economies (an area where research has been lacking); it provides new understanding and additional evidence with respect to the effect of ownership structure on the performance of firms in the East African region; it incorporates the influence of macroeconomic and institutional factors on financial structure choices; and it proposes frameworks for reviewing knowledge of financial structure choices, which can be used for further scholarly work on financial structure of firms in emerging economies. The findings of this research have implications for a possibility of a new theoretical framework for researching financial structure choice of firms in emerging economies; for policy makers to design deliberate policies that enhance access to finance for firms operating in an emerging economy; and for policy makers to regulate institutions (banking sector and capital market) as they develop to ensure equitable access (particularly for the private firms) to finance by all firms operating within the economy. Taken together, the results have implication for future scholarship in that they provide clearer and useful insights on ownership structure, financial structure choices and performance of both quoted and private firms in emerging economies; and the methods used are highly replicable and can be replicated in future studies of financial structure choices of firms in emerging economies. It has also invoked further questions that require answers.

Submitted by Victor Hideki Obara (victor.obara@gmail.com) on 2014-03-06T18:17:06Z No. of bitstreams: 1 Dissertação_VictorObara2014.pdf: 1045588 bytes, checksum: 53366e74ed0e394dca903abf1be27bf7 (MD5) / Approved for entry into archive by Suzinei Teles Garcia Garcia (suzinei.garcia@fgv.br) on 2014-03-06T18:34:02Z (GMT) No. of bitstreams: 1 Dissertação_VictorObara2014.pdf: 1045588 bytes, checksum: 53366e74ed0e394dca903abf1be27bf7 (MD5) / Made available in DSpace on 2014-03-06T19:39:03Z (GMT). No. of bitstreams: 1 Dissertação_VictorObara2014.pdf: 1045588 bytes, checksum: 53366e74ed0e394dca903abf1be27bf7 (MD5) Previous issue date: 2014-02-11 / Este trabalho observa como as variáveis macroeconômicas (expectativa de inflação, juro real, hiato do produto e a variação cambial) influenciam a dinâmica da Estrutura a Termo da Taxa de Juros (ETTJ). Esta dinâmica foi verificada introduzindo a teoria de Análise de Componentes Principais (ACP) para capturar o efeito das componentes mais relevantes na ETTJ (nível, inclinação e curvatura). Utilizando-se as estimativas por mínimos quadrados ordinários e pelo método generalizado dos momentos, foi verificado que existe uma relação estatisticamente significante entre as variáveis macroeconômicas e as componentes principais da ETTJ. / This paper observes how the macroeconomic variables (inflation expectations, real interest rate, output gap and the exchange rate) influence the dynamics of the Term Structure of Interest Rates (TSIR). This dynamic was verified by introducing the theory of Principal Component Analysis (PCA) to capture the effect of the most important components in TSIR (level, slope and curvature). Using ordinary least square estimation and the generalized method of moments, it was verified that there is a statistical significant relationship between macroeconomic variables and TSIR principal components.

Submitted by Natalia Lopes (nati_lopes1@hotmail.com) on 2015-03-06T12:36:44Z No. of bitstreams: 1 Natalia Lopes_Final.pdf: 1150711 bytes, checksum: 79a8982512192755c02ea2a9b32168e4 (MD5) / Approved for entry into archive by Renata de Souza Nascimento (renata.souza@fgv.br) on 2015-03-06T12:50:57Z (GMT) No. of bitstreams: 1 Natalia Lopes_Final.pdf: 1150711 bytes, checksum: 79a8982512192755c02ea2a9b32168e4 (MD5) / Made available in DSpace on 2015-03-06T13:06:44Z (GMT). No. of bitstreams: 1 Natalia Lopes_Final.pdf: 1150711 bytes, checksum: 79a8982512192755c02ea2a9b32168e4 (MD5) Previous issue date: 2015-02-06 / We analyze the impact of firm-specific characteristics as well as economic factors on the speed of adjustment to the target debt ratio. Using different methods, we document speeds of adjustment ranging from 14.4% to 37%. The results indicate that the speed of adjustment is affected by business-cycle variables: The interaction term related to term spread reveals, as expected, faster adjustment in booms than in recessions and a negative relationship between short term spread and adjustment speed. We also show that the speed of adjustment becomes stationary when the increasing fractions of zero-debt firms are considered. / Analisamos o impacto de características específicas da empresa, bem como os fatores econômicos sobre a velocidade de ajustamento para alcançar o ponto ótimo da dívida. Usando métodos diferentes, encontramos velocidades de ajustamento que variam de 14,4% a 37%. Os resultados indicam que a velocidade de ajustamento é afetada por variáveis do ciclo de negócios: O termo de interação relacionado ao term spread revela, como esperado, um ajustamento mais rápido em booms do que em recessões e uma relação negativa entre o spread de curto prazo e velocidade de ajustamento. Mostramos também que a velocidade de ajustamento torna-se estacionária quando o aumento das de firmas com dívida zero é considerado.

Submitted by YGOR MUNHOZ (ygormunhoz1@gmail.com) on 2015-09-04T20:23:30Z No. of bitstreams: 1 OS DETERMINANTES MACROECONÔMICOS DA ESTRUTURA A TERMO DAS TAXAS DE JUROS EM DÓLAR NO BRASIL.pdf: 2696930 bytes, checksum: 636dbbdf89e9a2e359bc824ebcb6e1f5 (MD5) / Approved for entry into archive by Renata de Souza Nascimento (renata.souza@fgv.br) on 2015-09-04T20:45:44Z (GMT) No. of bitstreams: 1 OS DETERMINANTES MACROECONÔMICOS DA ESTRUTURA A TERMO DAS TAXAS DE JUROS EM DÓLAR NO BRASIL.pdf: 2696930 bytes, checksum: 636dbbdf89e9a2e359bc824ebcb6e1f5 (MD5) / Made available in DSpace on 2015-09-04T21:12:49Z (GMT). No. of bitstreams: 1 OS DETERMINANTES MACROECONÔMICOS DA ESTRUTURA A TERMO DAS TAXAS DE JUROS EM DÓLAR NO BRASIL.pdf: 2696930 bytes, checksum: 636dbbdf89e9a2e359bc824ebcb6e1f5 (MD5) Previous issue date: 2015 / This paper proposes to model of the Brazilian term structure of the US dollar-denominated interest rates in which the level, slope and curvature factors are driven by observable variables as in Huse (2011). We proxy the macroeconomic conditions by the exchange rate of the Brazilian real against the US dollar, Brazil`s 5-year Credit Default Swap spread, the commodity price index, the 3-month dollar-denominated rate, the 1-year LIBOR rate, the 1-year implied exchange rate volatility, and the 1- year Brazilian breakeven inflation. The model fits the yield curve very well, explaining 95% of the variation. The dollar-denominated yield curve increases with the CDS spread, 3-month dollar denominated rate, the LIBOR rate, commodity prices, and the exchange rate volatility. The exchange rate depreciation is positively correlated with shorter maturities, until 2.5 years, and negatively with back end of the curve. Changes in the breakeven inflation have a very modest impact in the curve. / Este trabalho propõe o desenvolvimento de um modelo de três fatores em que os movimentos da Estrutura a Termo da Taxa de Juros em Dólar, o Cupom Cambial, são determinados por variáveis macroeconômicas observáveis. O estudo segue a metodologia elaborada por Huse (2011), que propõe um modelo baseado nos estudos de Nelson e Siegel (1987) e Diebold e Li (2006). Os fatores utilizados são: taxa de câmbio em real por dólar, spread do Credit Default Swap (CDS) Brasil de cinco anos, índice de preço de commodities, taxa de cupom cambial futura com vencimento em três meses, taxa futura de juros em dólar com cupom zero (Libor), volatilidade implícita da taxa de câmbio esperada pelo mercado de hoje até um ano, e inflação implícita de um ano no Brasil. O modelo foi capaz de explicar 95% das mudanças na estrutura a termo do cupom cambial. Aumentos no spread do CDS, na taxa de cupom cambial de três meses, na Libor, no índice de preço de commodities, e na volatilidade implícita do câmbio com vencimento em um ano estão diretamente relacionados com aumento na curva de juros em dólar. Por sua vez, a depreciação cambial tem correlação positiva com as maturidades mais curtas, até 2.5 anos, e negativo com a parte longa, até cinco anos. Choques na inflação implícita têm um pequeno impacto positivo para vencimentos curtos, mas levemente negativo para vencimentos mais longos.

Submitted by Laércio Fernandes Pereira Neto (laercio_fene@hotmail.com) on 2016-02-10T17:04:16Z No. of bitstreams: 1 MPFE_Dissertacao_Laercio Neto.pdf: 920392 bytes, checksum: 0cdf978b48230f22a7a4597db4311e21 (MD5) / Rejected by Renata de Souza Nascimento (renata.souza@fgv.br), reason: Laércio, boa tarde Referente ao título de sua dissertação, houve alguma alteração? Conforme o protocolo e ata entregue na secretaria, o título é: ANÁLISE DOS RISCOS SISTEMÁTICOS E IDIOSSINCRÁTICOS, REPRESENTADOS PELO CAPM, PARA PORTFOLIOS DE DIFERENTES SETORES EM CONDIÇÕES ECONÔMICAS DISTINTAS A alteração do mesmo, só deve ser realizada mediante solicitação do orientador e não possuímos esta solicitação em Ata. Por gentileza, verificar. Att on 2016-02-11T17:52:21Z (GMT) / Submitted by Laércio Fernandes Pereira Neto (laercio_fene@hotmail.com) on 2016-02-12T19:38:57Z No. of bitstreams: 1 MPFE_Dissertacao_Laercio Neto.pdf: 920804 bytes, checksum: 4bb1317851e085d3c4542b6e2caec6eb (MD5) / Approved for entry into archive by Renata de Souza Nascimento (renata.souza@fgv.br) on 2016-02-12T19:40:58Z (GMT) No. of bitstreams: 1 MPFE_Dissertacao_Laercio Neto.pdf: 920804 bytes, checksum: 4bb1317851e085d3c4542b6e2caec6eb (MD5) / Made available in DSpace on 2016-02-15T11:45:46Z (GMT). No. of bitstreams: 1 MPFE_Dissertacao_Laercio Neto.pdf: 920804 bytes, checksum: 4bb1317851e085d3c4542b6e2caec6eb (MD5) Previous issue date: 2016-02-04 / Esse estudo busca analisar os impactos causados pelo Ciclo Monetário, o Ciclo Econômico, o Nível da Indústria e a Condição do Mercado de Ações nas variáveis do CAPM para portfólios de ações de diferentes setores da indústria no Brasil. O banco de dados utilizado compreende séries temporais mensais, do retorno de ações de 17 setores da economia, no período de Janeiro de 2008 à Dezembro de 2014. Foi observado que existem relações estatisticamente relevantes entre variáveis macroeconômicas e o excesso de retorno dos portfólios de ações analisados. Além disso, foi possível notar que essas relações tem efeitos distintos sobre os riscos sistemáticos e idiossincráticos dos portfólios. A maior parte dos resultados obtidos não se mostraram estatisticamente relevantes, o que sugere que existem outras variáveis explicativas que se relacionam com as variáveis dependentes de forma mais robusta, assim como já apontado pela literatura existente, no caso do Brasil. No entanto, foi possível observar que há efeitos indiretos das variáveis macroeconômicas sobre o retorno dos ativos através do canal de retorno do mercado. / This study investigates the impacts caused by the Monetary Cycle, the Business Cycle, the Industry Level and the Condition of the Stock Market on CAPM variables for stock portfolios of different industry sectors in Brazil. The database used comprises monthly time series of stock returns of 17 sectors of the economy in the period from January 2008 to December 2014. It was observed that there are statistically significant relationships between macroeconomic variables and the excess return of the stock portfolios analyzed. Furthermore, it was noticeable that these relationships have different effects on systematic and idiosyncratic risk of portfolios. Most of the results were not statistically relevant, which suggests that there are other explanatory variables that relate to the dependent variables in a more robust manner, as already pointed out by the literature in the case of Brazil. However, it was observed that there are indirect effects of macroeconomic variables on the return of assets through the market return channel.

Submitted by Roberta Torres de Abreu Carvalho (robertacarvalho05@gmail.com) on 2016-03-03T22:00:57Z No. of bitstreams: 1 Dissertação Mestrado_RobertaCarvalho.pdf: 1028094 bytes, checksum: aef6e235bc09215a923d10903c0acc19 (MD5) / Approved for entry into archive by Janete de Oliveira Feitosa (janete.feitosa@fgv.br) on 2016-03-04T19:18:41Z (GMT) No. of bitstreams: 1 Dissertação Mestrado_RobertaCarvalho.pdf: 1028094 bytes, checksum: aef6e235bc09215a923d10903c0acc19 (MD5) / Approved for entry into archive by Maria Almeida (maria.socorro@fgv.br) on 2016-03-14T17:30:58Z (GMT) No. of bitstreams: 1 Dissertação Mestrado_RobertaCarvalho.pdf: 1028094 bytes, checksum: aef6e235bc09215a923d10903c0acc19 (MD5) / Made available in DSpace on 2016-03-14T17:31:12Z (GMT). No. of bitstreams: 1 Dissertação Mestrado_RobertaCarvalho.pdf: 1028094 bytes, checksum: aef6e235bc09215a923d10903c0acc19 (MD5) Previous issue date: 2015-12-14 / The work studies the use of macroeconomic indicators in strategic planning, considering the perception of senior Brazilian executives. Strategic planning is a management process of great importance within companies of all sizes and sectors. Good planning drives the company in the right direction, helping so she can anticipate the threats and make a diagnosis of opportunities and improvements. Macroeconomic indicators mainly represent data and / or signaling information behavior (individual or integrated) of the different variables and phenomenon components of an economic system of a country, region or state. These play a key role both to provide a better understanding of the present situation and the design of shortterm trends in the economy, and to support the process of making strategic decisions of public officials (government) and private (businesses and consumers). The design of the research followed a qualitative-quantitative model, conducting 12 semi-structured interviews, followed by conducting a survey to 416 companies operating in Brazil. As a result of research it was concluded that top executives know the importance of using macroeconomic indicators in strategic planning, and other accompaniments and decisions of companies, and point out that is not yet fully incorporated into the strategic planning process, running today, in most companies, only as a source of information and confirmation. The analysis of the two variables, from the perspective of senior executives resulted in the highlighted two other interesting variables for future work: trust and Brazilian culture. / O trabalho busca estudar o uso dos indicadores macroeconômicos no planejamento estratégico, considerando a percepção dos altos executivos brasileiros. O planejamento estratégico é um processo gerencial de grande importância dentro das empresas de todos os portes e setores. Um bom planejamento impulsiona a empresa na direção correta, auxiliando para que ela possa antecipar-se às ameaças e fazer um diagnóstico de oportunidades e melhorias. Os indicadores macroeconômicos representam essencialmente dados e/ou informações sinalizadoras do comportamento (individual ou integrado) das diferentes variáveis e fenômenos componentes de um sistema econômico de um país, região ou estado. Estes desempenham um papel fundamental tanto para propiciar uma melhor compreensão da situação presente e o delineamento das tendências de curto prazo da economia, quanto para subsidiar o processo de tomada de decisões estratégicas dos agentes públicos (governo) e privados (empresas e consumidores). O desenho da pesquisa seguiu um modelo qualitativoquantitativo, realizando 12 entrevistas semi-estruturadas, seguido da realização de uma sondagem junto a 416 empresas que operam no Brasil. Como resultado da pesquisa concluiuse que os altos executivos sabem da importância do uso dos indicadores macroeconômicos no planejamento estratégico, e para outros acompanhamentos e decisões das empresas, e destacam que este ponto ainda não é totalmente incorporado no processo do planejamento estratégico, funcionando hoje, na maioria das empresas, somente como uma fonte de consulta e confirmação. A análise das duas variáveis, segundo a ótica dos altos executivos, resultou no destaque de outras duas variáveis interessantes para trabalhos futuro: a reputação corporativa e a cultura corporativa.

Submitted by Daniele Santos (danielesantos.htl@gmail.com) on 2017-02-22T17:48:51Z No. of bitstreams: 1 Luis Fernando Maldonado.pdf: 1818908 bytes, checksum: 94b79ebbd673f75a1f0b21f5fe608a1a (MD5) / Approved for entry into archive by Janete de Oliveira Feitosa (janete.feitosa@fgv.br) on 2017-02-23T17:41:42Z (GMT) No. of bitstreams: 1 Luis Fernando Maldonado.pdf: 1818908 bytes, checksum: 94b79ebbd673f75a1f0b21f5fe608a1a (MD5) / Made available in DSpace on 2017-02-24T14:19:58Z (GMT). No. of bitstreams: 1 Luis Fernando Maldonado.pdf: 1818908 bytes, checksum: 94b79ebbd673f75a1f0b21f5fe608a1a (MD5) Previous issue date: 2016-11-09 / This research main purpose is to determine the effects of oil prices in an oil exporting economy with focus on the Colombian case. First of all, it will be determined if Colombia is a net oil exporter; then, the relevance of oil exports in Colombia’s economy will be determined in order to define if this commodity is important for the Colombian economy. After proving the importance of oil in the country’s economy, an econometric model will be applied to demonstrate if the hypothesis that there is a direct relationship between oil prices and Colombia’s economic performance is true. The variables that are going to be tested in this paper are Consumer Price Index (CPI), Gross Domestic Product (GDP) and Balance of Payments (BOP) which captures the net effect between exports and imports plus net capital flows. If the hypothesis that oil prices directly affect Colombia’s economic performance is proved to be right, very close attention must be paid because oil is a non-renewable source of energy and unless new oil deposits are discovered, the commodity will begin to drain and an even higher negative effect can be observed in the future if the country’s economic focus doesn’t change before existing oil is all used up along with the county reserves. If the country doesn’t concentrate in diversifying its economy, Dutch disease can be very harmful because the economy will be in very bad shape when oil dries up or prices become very low that country revenues plummet and extracting this commodity is not profitable enough and production and further exploitation will simply be inexistent.

Submitted by Danielle Macedo Aranha (dani_0102@yahoo.com.br) on 2017-09-06T21:00:00Z No. of bitstreams: 1 A RELAÇÃO DOS INDICADORES DE CONFIANÇA COM O CRESCIMENTO ECONÔMICO.docx: 658170 bytes, checksum: 8db8fac9d73ee52753d7dea622caa12f (MD5) / Rejected by Joana Martorini (joana.martorini@fgv.br), reason: Prezada Danielle, boa tarde. Para que possamos aprovar seu trabalho, favor fazer as seguintes correções: - Nas páginas que são inseridos os títulos do arquivo devem estar em NEGRITO; -"Lista de Figuras" e "Lista de Tabelas" devem estar centralizadas na página e também em negrito. Favos fazer as correções, qualquer dúvida mande um e-mail para mestradoprofissional@fgv.br ou ligue 3799-7764 Att, Thais Oliveira on 2017-09-11T18:21:15Z (GMT) / Submitted by Danielle Macedo Aranha (dani_0102@yahoo.com.br) on 2017-09-11T18:54:24Z No. of bitstreams: 1 A RELAÇÃO DOS INDICADORES DE CONFIANÇA COM O CRESCIMENTO ECONÔMICO.docx: 658733 bytes, checksum: fa7738dbb3e7a53acc869bbc06a98776 (MD5) / Approved for entry into archive by Joana Martorini (joana.martorini@fgv.br) on 2017-09-11T19:17:19Z (GMT) No. of bitstreams: 1 A RELAÇÃO DOS INDICADORES DE CONFIANÇA COM O CRESCIMENTO ECONÔMICO.docx: 658733 bytes, checksum: fa7738dbb3e7a53acc869bbc06a98776 (MD5) / Made available in DSpace on 2017-09-12T13:54:07Z (GMT). No. of bitstreams: 1 A RELAÇÃO DOS INDICADORES DE CONFIANÇA COM O CRESCIMENTO ECONÔMICO.docx: 658733 bytes, checksum: fa7738dbb3e7a53acc869bbc06a98776 (MD5) Previous issue date: 2017-08-29 / The objective of this work is to understand how the confidence indexes can be used as predictors of GDP estimated by two methods: Ordinary Least Squares (OLS) method and Autoregressive Vectors (VAR), with estimates outside the sample. The period adopted for this work comprises the beginning of 2002 until May 2017, considering all the quarterly series. The series adopted were taken from surveys published by the Brazilian Institute of Economics (IBRE) of the Getulio Vargas Foundation and the Brazilian Institute of Geography and Statistics (IBGE). We have identified that confidence indicators may be good predictors of economic growth, however, they could not be used in isolation to determine the changing trend of the economic cycle. In addition, the inclusion of macroeconomic variables did not eliminate the predictive power of confidence indicators. It was verified through the models that they have a significant weight that can partially explain the cycle of economic activity, but the short period of the variables is still limiting for their complete evaluation, especially when trying to verify their short-term relationship. / O trabalho tem como objetivo compreender como os índices de confiança podem ser utilizados como previsores do PIB estimados por dois métodos: método dos Mínimos Quadrados Ordinários (MQO) e Vetores Autoregressivos (VAR), com previsões fora da amostra. O período adotado para este trabalho compreende o início de 2002 até maio de 2017, considerando todas as séries trimestrais. As séries adotadas foram extraídas das pesquisas divulgadas pelo Instituto Brasileiro de Economia (IBRE) da Fundação Getulio Vargas e pelo Instituto Brasileiro de Geografia e Estatística (IBGE). Identificamos que os indicadores de confiança podem ser bons preditores do crescimento econômico, contudo, não poderiam ser usados isoladamente para determinar a mudança de tendência do ciclo econômico. Adicionalmente, a inclusão de variáveis macroeconômicas não eliminou o poder preditivo dos indicadores de confiança. Verificou-se através dos modelos que eles possuem um peso significante que podem explicar parcialmente o ciclo da atividade econômica, mas o curto período das variáveis ainda é limitador para sua completa avaliação, principalmente, quando se tenta verificar sua relação de curto prazo.

Submitted by Daniella Santos (daniella.santos@fgv.br) on 2010-03-11T18:47:25Z No. of bitstreams: 1 Tese_RebeccaBarros.pdf: 610540 bytes, checksum: 37ed3a5877339beeabc0c9ada82d9de9 (MD5) / Approved for entry into archive by Andrea Virginio Machado(andrea.machado@fgv.br) on 2010-03-12T13:28:20Z (GMT) No. of bitstreams: 1 Tese_RebeccaBarros.pdf: 610540 bytes, checksum: 37ed3a5877339beeabc0c9ada82d9de9 (MD5) / Made available in DSpace on 2010-03-12T19:11:36Z (GMT). No. of bitstreams: 1 Tese_RebeccaBarros.pdf: 610540 bytes, checksum: 37ed3a5877339beeabc0c9ada82d9de9 (MD5) Previous issue date: 2009-08-14 / This thesis investigates price-setting in a variable macroeconomic environment using a unique data set from the Brazilian CPI index of Fundação Getulio Vargas. The primary data consist of a panel of individual prices for goods and services covering 100% of the CPI for the 1996-2008 period. During this period a number of important events produced substantial macroeconomic variability in Brazil: two emerging market crises, a change of exchange rate and monetary regimes, blackouts and energy rationing, an election crisis, and a regular disinflation. As a consequence, inflation, macroeconomic uncertainty, exchange rates, and output exhibit important variation in the sample. In the first chapter we describe the data-base and present the main price-setting statistics for Brazil. Then, in the second and third chapters, we construct time series of price-setting statistics and temporary sales and relate them to macroeconomic variables using regression analyses. We find that there is a substantial relationship between price setting statistics and the macroeconomic environment for the Brazilian Economy. / Esta tese investiga as estratégias de precificação em ambientes macroeconômicos distintos, utilizando uma base de dados única para o IPC da Fundação Getulio Vargas. A base de dados primária consiste em um painel de dados individuais para bens e serviços representando 100% do IPC para o período de 1996 a 2008. Durante este período, diversos eventos produziram uma variabilidade macroeconômica substancial no Brasil: duas crises em países emergentes, uma mudança de regime cambial e monetário, racionamento de energia, uma crise de expectativas eleitorais e um processo de desinflação. Como consequência, a inflação, a incerteza macroeconômica, a taxa de câmbio e o produto exibiram uma variação considerável no período. No primeiro capítulo, nós descrevemos a base de dados e apresentamos as principais estatísticas de price-setting para o Brasil. Em seguida, nos capítulos 2 e 3, nos construímos as séries de tempo destas estatísticas e das estatísticas de promoções, e as relacionamos com as variáveis macroeconômicas utilizando análises de regressões. Os resultados indicam que há uma relação substancial entre as estatísticas de price-setting e o ambiente macroeconômico para a economia brasileira.

Submitted by Roberta Lorenzon (roberta.lorenzon@fgv.br) on 2011-05-30T14:26:15Z No. of bitstreams: 1 63080100015.pdf: 781749 bytes, checksum: 32dd660d87d63789ab4a0ee0600ce50d (MD5) / Approved for entry into archive by Gisele Isaura Hannickel(gisele.hannickel@fgv.br) on 2011-05-30T14:47:36Z (GMT) No. of bitstreams: 1 63080100015.pdf: 781749 bytes, checksum: 32dd660d87d63789ab4a0ee0600ce50d (MD5) / Approved for entry into archive by Gisele Isaura Hannickel(gisele.hannickel@fgv.br) on 2011-05-30T14:48:59Z (GMT) No. of bitstreams: 1 63080100015.pdf: 781749 bytes, checksum: 32dd660d87d63789ab4a0ee0600ce50d (MD5) / Made available in DSpace on 2011-05-31T15:39:00Z (GMT). No. of bitstreams: 1 63080100015.pdf: 781749 bytes, checksum: 32dd660d87d63789ab4a0ee0600ce50d (MD5) Previous issue date: 2010-05-28 / The present work aims to study the macroeconomic factors influence in credit risk for installment autoloans operations. The study is based on 4.887 credit operations surveyed in the Credit Risk Information System (SCR) hold by the Brazilian Central Bank. Using Survival Analysis applied to interval censured data, we achieved a model to estimate the hazard function and we propose a method for calculating the probability of default in a twelve month period. Our results indicate a strong time dependence for the hazard function by a polynomial approximation in all estimated models. The model with the best Akaike Information Criteria estimate a positive effect of 0,07% for males over de basic hazard function, and 0,011% for the increasing of ten base points on the operation annual interest rate, toward, for each R$ 1.000,00 on the installment, the hazard function suffer a negative effect of 0,28% , and an estimated elevation of 0,0069% for the same amount added to operation contracted value. For de macroeconomics factors, we find statistically significant effects for the unemployment rate (-0,12%) , for the one lag of the unemployment rate (0,12%), for the first difference of the industrial product index(-0,008%), for one lag of inflation rate (-0,13%) and for the exchange rate (-0,23%). We do not find statistic significant results for all other tested variables. / The present work aims to study the macroeconomic factors influence in credit risk for installment autoloans operations. The study is based on 4.887 credit operations surveyed in the Credit Risk Information System (SCR) hold by the Brazilian Central Bank. Using Survival Analysis applied to interval censured data, we achieved a model to estimate the hazard function and we propose a method for calculating the probability of default in a twelve month period. Our results indicate a strong time dependence for the hazard function by a polynomial approximation in all estimated models. The model with the best Akaike Information Criteria estimate a positive effect of 0,07% for males over de basic hazard function, and 0,011% for the increasing of ten base points on the operation annual interest rate, toward, for each R$ 1.000,00 on the installment, the hazard function suffer a negative effect of 0,28% , and an estimated elevation of 0,0069% for the same amount added to operation contracted value. For de macroeconomics factors, we find statistically significant effects for the unemployment rate (-0,12%) , for the one lag of the unemployment rate (0,12%), for the first difference of the industrial product index(-0,008%), for one lag of inflation rate (-0,13%) and for the exchange rate (-0,23%). We do not find statistic significant results for all other tested variables.